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Researchers at Rensselaer Polytechnic Institute and City University of Hong Kong propose a novel AI framework inspired by 3D brain-like neural structures and recursive loops. This vertically ...
This perspective paper proposes a comprehensive, three-axis blueprint to integrate AI into water treatment at the technological, engineering, and industrial levels. By transforming rigid systems into ...
This study systematically compares how different generative AI tools—LLMs, text-to-image (T2I), and text-to-3D (T2-3D) models—support distinct stages of the creative process. The findings reveal a ...
Researchers at Florida Atlantic University have developed an automated method to detect and remove mislabeled data before training machine learning models, significantly improving their reliability ...
Nanjing University researchers unveiled a new AI training framework and benchmark that dramatically improve how AI collaborates with humans, especially when facing unexpected, real-world challenges.
Ascertain has secured $10 million in Series A funding to scale its AI-powered case management platform, aiming to streamline administrative tasks and improve care delivery efficiency. With Northwell ...
Researchers have developed an AI-powered monitoring system that links individual honeybee exposure to neonicotinoid pesticides with colony-wide health effects. Even low-level exposure was shown to ...
A new AI-driven drone detection system revolutionizes search and rescue operations by precisely identifying individuals in challenging environments, including dense forests and disaster zones, ...
Researchers at Wuhan University developed Fair Adversarial Training (FairAT), a technique that enhances the fairness and robustness of AI models by focusing on their most vulnerable data points.
Penn Engineers have unveiled the first programmable chip capable of training nonlinear neural networks using only light, revolutionizing photonic AI. This innovation promises rapid, energy-efficient ...
MIT researchers developed Llamole, a multimodal AI system combining large language models with graph-based AI to automate molecular design and synthesis. It significantly boosts success rates and ...
A new UTSA study exposes how AI coding assistants can hallucinate fake software packages—creating an easy gateway for hackers to hijack your code with a single, trusted command.
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